Evidence map›Paper›PMID 23675896›Full record

ArticleBMC systems biology2013

Stat and interferon genes identified by network analysis differentially regulate primitive and definitive erythropoiesis.

Emily Greenfest-Allen, Jeffrey Malik, James Palis, Christian J Stoeckert

Open access · diamondAbstract read
In one paragraph

Article in BMC systems biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.5field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
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  3. New Avenues of Heme Synthesis Regulation.International journal of molecular sciences · 2022
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Emily Greenfest-AllenDepartment of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. stoec
Jeffrey Malik
James Palis
Christian J Stoeckert
University of Pennsylvania · USUniversity of Rochester Medical Center · US

Funding

Ontogeny of erythroid lineage differentiationR01DK071116 · NIDDK · UNIVERSITY OF ROCHESTER · PI PALIS, JAMES · 2006 to 2010
$2.2M
HEMATOLOGY RESEARCHT32HL007152 · NHLBI · UNIVERSITY OF ROCHESTER · PI FRANCIS, CHARLES W. · 1985 to 2011
$2.1M
Role of EPO in terminal erythroid maturationR01HL116364 · NHLBI · UNIVERSITY OF ROCHESTER · PI PALIS, JAMES · 2012 to 2015
$1.5M
NHLBI NIH HHS R01 HL116364NHLBI NIH HHS T32 HL007152NIDDK NIH HHS R01 DK 071116
6 · The paper itself

Abstract

backgroundHematopoietic ontogeny is characterized by overlapping waves of primitive, fetal definitive, and adult definitive erythroid lineages. Our aim is to identify differences in the transcriptional control of these distinct erythroid cell maturation pathways by inferring and analyzing gene-interaction networks from lineage-specific expression datasets. Inferred networks are strongly connected and do not fit a scale-free model, making it difficult to identify essential regulators using the hub-essentiality standard.

resultsWe employed a semi-supervised machine learning approach to integrate measures of network topology with expression data to score gene essentiality. The algorithm was trained and tested on the adult and fetal definitive erythroid lineages. When applied to the primitive erythroid lineage, 144 high scoring transcription factors were found to be differentially expressed between the primitive and adult definitive erythroid lineages, including all expressed STAT-family members. Differential responses of primitive and definitive erythroblasts to a Stat3 inhibitor and IFNγ in vitro supported the results of the computational analysis. Further investigation of the original expression data revealed a striking signature of Stat1-related genes in the adult definitive erythroid network. Among the potential pathways known to utilize Stat1, interferon (IFN) signaling-related genes were expressed almost exclusively within the adult definitive erythroid network.

conclusionsIn vitro results support the computational prediction that differential regulation and downstream effectors of STAT signaling are key factors that distinguish the transcriptional control of primitive and definitive erythroid cell maturation.

Indexed as

Artificial IntelligenceGene Expression RegulationGene Regulatory NetworksAdultAlgorithmsAnimalsComputational BiologyErythropoiesisHumansInterferonsMiceSignal TransductionSTAT Transcription FactorsInterferonsSTAT Transcription Factors

Identifiers

PMID23675896
PMCPMC3668222
OpenAlexW2019657426

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.